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IBM SPSS Modeler is a data mining and text analytics software application from IBM. It is used to build predictive models and conduct other analytic tasks. It has a visual interface which allows users to leverage statistical and data mining algorithms without programming. One of its main aims from the outset was to get rid of unnecessary complexity in data transformations, and to make complex predictive models very easy to use. The first version incorporated decision trees (ID3), and neural networks (backprop), which could both be trained without underlying knowledge of how those techniques worked. IBM SPSS Modeler was originally named Clementine by its creators, Integral Solutions Limited. This name continued for a while after SPSS's acquisition of the product. SPSS later changed the name to SPSS Clementine, and then later to PASW Modeler. Following IBM's 2009 acquisition of SPSS, the product was renamed IBM SPSS Modeler, its current name. (en) IBM SPSS Modeler 是 IBM 公司的一款数据挖掘与预测分析软件。用户可以通过可视化的界面来调用决策树（ID3）和神经网络（BP）等统计和数据挖掘算法建立，而不必进行编程，也不必知道这些算法的内在原理，从而降低了数据分析工作的难度。 (zh) |
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Data mining tool (en) |
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IBM SPSS Modeler 是 IBM 公司的一款数据挖掘与预测分析软件。用户可以通过可视化的界面来调用决策树（ID3）和神经网络（BP）等统计和数据挖掘算法建立，而不必进行编程，也不必知道这些算法的内在原理，从而降低了数据分析工作的难度。 (zh) IBM SPSS Modeler is a data mining and text analytics software application from IBM. It is used to build predictive models and conduct other analytic tasks. It has a visual interface which allows users to leverage statistical and data mining algorithms without programming. One of its main aims from the outset was to get rid of unnecessary complexity in data transformations, and to make complex predictive models very easy to use. (en) |
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